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ease
features
design
support

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Description

Code Llama is an advanced language model designed to generate code through text prompts, distinguishing itself as a leading tool among publicly accessible models for coding tasks. This innovative model not only streamlines workflows for existing developers but also aids beginners in overcoming challenges associated with learning to code. Its versatility positions Code Llama as both a valuable productivity enhancer and an educational resource, assisting programmers in creating more robust and well-documented software solutions. Additionally, users can generate both code and natural language explanations by providing either type of prompt, making it an adaptable tool for various programming needs. Available for free for both research and commercial applications, Code Llama is built upon Llama 2 architecture and comes in three distinct versions: the foundational Code Llama model, Code Llama - Python which is tailored specifically for Python programming, and Code Llama - Instruct, optimized for comprehending and executing natural language directives effectively.

Description

Introducing a remarkable family of compact language models (SLMs) that deliver exceptional performance while being cost-effective and low in latency. These models are designed to enhance AI functionalities, decrease resource consumption, and promote budget-friendly generative AI applications across various platforms. They improve response times in real-time interactions, navigate autonomous systems, and support applications that demand low latency, all critical to user experience. Phi-3 can be deployed in cloud environments, edge computing, or directly on devices, offering unparalleled flexibility for deployment and operations. Developed in alignment with Microsoft AI principles—such as accountability, transparency, fairness, reliability, safety, privacy, security, and inclusiveness—these models ensure ethical AI usage. They also excel in offline environments where data privacy is essential or where internet connectivity is sparse. With an expanded context window, Phi-3 generates outputs that are more coherent, accurate, and contextually relevant, making it an ideal choice for various applications. Ultimately, deploying at the edge not only enhances speed but also ensures that users receive timely and effective responses.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure AI Services
Azure OpenAI Service
BLACKBOX AI
BaseRT
CodeQwen
Database Mart
Deep Infra
Falcon-7B
LM-Kit.NET
Llama 2
Llama 3.1
Llama 3.3
Molmo
Msty
Ollama
Pipeshift
Prefactor
Skott
Tabby

Integrations

Azure AI Services
Azure OpenAI Service
BLACKBOX AI
BaseRT
CodeQwen
Database Mart
Deep Infra
Falcon-7B
LM-Kit.NET
Llama 2
Llama 3.1
Llama 3.3
Molmo
Msty
Ollama
Pipeshift
Prefactor
Skott
Tabby

Pricing Details

Free
Open source
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

ai.meta.com/blog/code-llama-large-language-model-coding/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/phi-3

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